Triple
T3084301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veep |
E64331
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Kevin Dunn |
E396431
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kevin Dunn | Statement: [Veep, castMember, Kevin Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Dunn Context triple: [Veep, castMember, Kevin Dunn]
-
A.
Kevin Dunn
chosen
Kevin Dunn is an American character actor known for his supporting roles in numerous films and television series, including the romantic comedy-drama "Vicky Cristina Barcelona."
-
B.
Andrew Dunn
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
-
C.
Kevin McClory
Kevin McClory was an Irish screenwriter, producer, and director best known for his long-running legal battles and involvement in the creation and adaptation of the James Bond story "Thunderball."
-
D.
Kevin Murray
Kevin Murray is a legendary Australian rules footballer best known for his long and decorated career with Fitzroy in the Victorian Football League, where he became one of the club’s most celebrated players.
-
E.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b732a05c81908fea7f9292ba87d5 |
completed | March 14, 2026, 7:29 p.m. |
Created at: March 8, 2026, 3:03 p.m.